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Wandi Chivela, Felisberto David
Papp, Zoltán
Laufer, Edit
2025-07-07T10:46:55Z
2025-07-07T10:46:55Z
2024-10-25
2560-2810hu_HU
http://hdl.handle.net/20.500.14044/30325
Effectivehealth monitoring is very importantfor individuals engaged in sports and physical activities due to the diverse physiological responses exhibited by each participant. Traditional methods often fail to deal withthe complexity of individual health profiles, highlighting the necessity for personalized assessment methods. In this paper,a hierarchical fuzzy model is presented, which is intended to assess the risk level of the current physical activity. In order to personalize the evaluation statistics-based approach wasused to tune the membership functions.The model presented provides both numerical and linguistic assessments of risk, demonstrating consistent trends between improved membership functions and medical recommendations. Extensions for future work are also included.hu_HU
dc.formatPDFhu_HU
enhu_HU
Customization of the Physiological Parameter Assessment Using Fuzzy Logichu_HU
Open accesshu_HU
Óbudai Egyetemhu_HU
Budapesthu_HU
Bánki Donát Gépész és Biztonságtechnikai Mérnöki Karhu_HU
Óbudai Egyetemhu_HU
Természettudományok - multidiszciplináris természettudományokhu_HU
fuzzy logichu_HU
risk assessmenthu_HU
sports activityhu_HU
patient monitoringhu_HU
membership functionshu_HU
statistical evaluationhu_HU
Tudományos cikkhu_HU
Bánki Közleményekhu_HU
local.tempfieldCollectionsFolyóiratcikkekhu_HU
Kiadói változathu_HU
10 p.hu_HU
2. sz.hu_HU
6. évf.hu_HU
2024hu_HU
Óbudai Egyetemhu_HU


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